Principal Product Manager, Agents
# Principal Product Manager, Agents **LeanData** · Santa Clara, CA · `On-site` 🕒 **Статус:** *Опубликовано: 7 дней назад* · *Источник: Indeed* --- ### About the Role Location Santa Clara Employment Type Full time Location Type Hybrid Department ProductProduct Management Compensation - OTE $200K – $220K OverviewApplication What You’ll Do Own the Product - Set direction and make the calls on what ships, in what order, and what gets cut - Take ambiguous problems and resolve product, system behavior, and interaction model together, not sequentially - Build the prototypes and working examples that make an abstract idea arguable - Work directly and often with RevOps and marketing ops leaders, in their environments, so as to bring the reality of their challenges into solutions - Drive design partner interactions to iterate the product Define What Good Looks Like - Define the correct behavior for the agents on this product - Build the golden sets and help write meaningful evals yourself - Read the traces. Build intuition for how the agent behaves on live work, not on your test cases - When it goes wrong, characterize the failure: prompt problem, tool problem, context problem, or product problem Design for Trust - Design the permissions and approvals that define what the agent does on its own and what it must ask about - Design the recovery paths: a failed tool call, wrong data, an uncertain agent - Design the audit trail, so a RevOps leader can prove next quarter what the agent did and why - Navigate operating alongside Salesforce and other data systems, where the records live and the actions land Qualifications Required Qualifications - 7-8+ years in product management, owning products end to end - At least one agentic product you took to launch. Not a prototype, not an internal pilot, not a feature with an LLM call in it. Something that ran in production and taught you things you’d do differently - You wrote evals yourself. You’ve built the suites, set the pass criteria, and debugged failures by reading traces. You know how far apart eval theory and eval practice are - Depth to reason about tool calls, context, retrieval, latency, and cost as product decisions, and to hold your own with senior engineers - Real UX judgment. Opinions about interfaces you can show the work behind and defend past the first objection - Comfort without scaffolding. There’s no eval harness, research cadence, or instrumentation waiting for you. You build what you need and move - Genuine curiosity about B2B go-to-market operations. Not a RevOps expert on day one, but energized to learn the domain deeply Preferred Qualifications - Taking a 0 1 product from concept to revenue in B2B SaaS - The Salesforce ecosystem, or any system of record where governance and permissions are non-negotiable What This Role Is Not - Not a platform role. You’re not building services or shared capabilities for other product teams - Not a people management role, but a senior independent contributor role. - Not forward-deployed, solutions, or program management for someone else’s roadmap - We’re not asking you to train models. You don’t need to be a data scientist or an ML engineer Compensation Range: $200K - $220K
Наблюдалась 2026-09-29, впервые 2026-09-22, источник — Indeed.